Identifying and responding to outlier demand in revenue management
From MaRDI portal
Publication:2030350
DOI10.1016/j.ejor.2021.01.002zbMath1487.62157arXiv1912.05974OpenAlexW3118283446MaRDI QIDQ2030350
Florian Dost, Nicola Rennie, Catherine Cleophas, Adam M. Sykulski
Publication date: 7 June 2021
Published in: European Journal of Operational Research (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1912.05974
Applications of statistics to economics (62P20) Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Functional data analysis (62R10) Management decision making, including multiple objectives (90B50)
Uses Software
Cites Work
- Multivariate functional outlier detection
- Simulation of stochastic demand data streams for network revenue management problems
- An ANOVA test for functional data
- Forecasting cancellation rates for services booking revenue management using data mining
- The impact of special days in call arrivals forecasting: a neural network approach to modelling special days
- A survey on risk-averse and robust revenue management
- The theory and practice of revenue management
- A field study of sales forecasting accuracy and processes
- Passenger demand forecasting in scheduled transportation
- `Horses for courses' in demand forecasting
- Revenue Management Under a General Discrete Choice Model of Consumer Behavior
- Functional Data Analysis with R and MATLAB
- Revenue impacts of fare input and demand forecast accuracy in airline yield management
- Trimming and winsorization: A review
- Multivariate Functional Halfspace Depth
- Outliers detect methods for time series data
- Airline Seat Allocation with Multiple Nested Fare Classes
- Determination of Sample Sizes for Setting Tolerance Limits
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
This page was built for publication: Identifying and responding to outlier demand in revenue management
